AI turns power and cooling into one big puzzle, but using a digital twin makes it easy to solve, check and manage everything without the usual guesswork.

AI search expands the long tail into endless prompt variations. Here’s how fan-out queries, grounding, and task completion ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Phasecraft, the world's leading quantum algorithms company, today announced it has commenced work on the University of Maryland's Applied Research Laboratory for Intelligence and Security's (ARLIS) ...

A serial entrepreneur, Jeremy Tang’s discipline shows up in how Area Ten approaches search today, not as a one-off campaign effort, but as an operational system for sustaining clarity and consistency ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Performance is being squeezed from every direction. Growing demand, workforce constraints and operational complexity are testing the limits of perioperative capacity. As a consequence, many ...

Alberto Corigliano introduces the ERC Advanced Grant project IMMENSE, which aims to overcome the challenge of developing ...

Sheffield-based TUBR—now co-located in Arizona—selected for Andorra Open Valley while demand forecasting platform goes ...

As AI agents take their place in the economy, the question of which money they use is a choice that will echo for decades.

The electricity grid is a real bottleneck for energy in the United States, and it’s not only utilities and grid operators who are struggling. Grid congestion also puts pressure on renewable energy ...